With Kin's algorithm, all important network flow problems, including maximum flow and minimum cost problems, can now be treated as special cases of the minimum cost flow problem.

To tackle the problem, researchers have traditionally used a maximum-flow algorithm, also known as “max flow,” in which a network is represented as a graph with a series of nodes, known as ...

Mathematics of Operations Research, Vol. 18, No. 1 (Feb., 1993), pp. 71-97 (27 pages) This paper is concerned with the design and probabilistic analysis of algorithms for the maximum-flow problem and ...

The maximum ow solver is di fficult to parallelize. Highly optimized sequential version of maximum flow solvers such as those by Goldberg exists. This work describes how some of the concurrency ...

New Algorithm from MIT, Yale, and USC Tackles Max Flow Challenge By Dian Schaffhauser 01/09/14 Researchers from MIT, Yale University, and the University of Southern California have developed what they ...

The maximum-flow problem, or max flow, is one of the most basic problems in computer science. MIT researchers, together with colleagues at Yale and the University of Southern California, have ...

We develop a new approach to solving minimum-cost circulation problems. Our approach combines methods for solving the maximum flow problem with successive approximation techniques based on cost ...

This algorithm solves the minimum-cost maximum-flow problem for networks that incrementally change as new connections are added.

Week 1 Intro to algorithm design: stable marriage Week 2 Shortest path algorithms Week 3 Minimal cycle ratio algorithms Week 4-5 Maximal flow algorithms Week 6-8 Min-cost flow algorithms Week 9-10 ...

To tackle the problem, researchers have traditionally used a maximum-flow algorithm, also known as "max flow," in which a network is represented as a graph with a series of nodes, known as ...